StudyDeck

Representing Images

Exam code: 2210
Written by: Ashika|Reviewed by: Caroline Carroll|Updated 2 July 2026

Bitmap Images

Bitmap Images

What is a bitmap?

  • A bitmap image is made up of squares called pixels

  • A pixel is the smallest element of a bitmap image

  • Each pixel is stored as a binary code

  • Binary codes are unique to the colour in each pixel

  • A typical example of a bitmap image is a photograph

Humidity sensor bitmap image
  • The more colours and more detail in the image, the higher the quality of the image and the more binary that needs to be stored

Resolution & Colour Depth

Resolution & Colour Depth

What is resolution?

  • Resolution is the total number of pixels that make up a bitmap image

  • It is calculated by multiplying the image's width and height in pixels

  • In general, higher resolution means more detail and better image quality

  • Display resolution is often described by the vertical pixel count, for example:

    • Computer monitors: 1440p has 1440 pixels vertically (2560×1440), while 4K has 2160 pixels vertically (3840×2160)

      • The "4K" name comes from its horizontal resolution of roughly 4,000 pixels

    • TVs: HD channels are 1080p (1080 pixels vertically), while UHD/4K channels are 2160p (2160 pixels vertically, or 3840×2160)

    • YouTube: the quality selector lets you choose playback resolution from 144p (144 pixels vertically) up to 4K (2160p)

What is colour depth?

  • Colour depth is the number of bits stored per pixel in a bitmap image

  • The colour depth is dependent on the number of colours needed in the image

  • In general, the higher the colour depth the more detail in the image (higher quality)

  • In a black & white image the colour depth would be 1, meaning 1 bit is enough to create a unique binary code for each colour in the image (1=white, 0=black)

Example 1 bit black and white image
  • In an image with a colour depth of 2, you would have 00, 01, 10 & 11 available binary codes, so 4 colours

Example 2 bit Mario image
  • As colour depth increases, so does the amount of colours available in an image

  • The amount of colours can be calculated as 2n (n = colour depth) 

Colour Depth

Amount of Colours

1 bit

2 (B&W)

2 bit

4

4 bit

16

8 bit

256

24 bit

16,777,216 (True Colour)

What is the impact of resolution and colour depth?

  • As the resolution and/or colour depth increases, the bigger the size of the file becomes on secondary storage

  • The higher the resolution, the more pixels are in the image, the more bits are stored

  • The higher the colour depth, the more bits per pixel are stored

  • Striking a balance between quality and file size is always a consideration

Seesaw to demonstrate the relationship between quality and file size of an image